Gating residues govern ligand unbinding kinetics from the buried cavity in <scp>HIF</scp>‐2α <scp>PAS</scp>‐B

While transcription factors have been generally perceived as "undruggable," an exception is the HIF-2 hypoxia-inducible transcription factor, which contains an internal cavity that is sufficiently large to accommodate a range of small-molecules, including the therapeutically used inhibitor belzutifan. Given the relatively long ligand residence times of these small molecules and the lack of any experimentally observed pathway connecting the cavity to solvent, there has been great interest in understanding how these drug ligands exit the buried receptor cavity. Here, we focus on the relevant PAS-B domain of hypoxia-inducible factor 2α (HIF-2α) and examine how one such small molecule (THS-017) exits from the buried cavity within this domain on the seconds-timescale using atomistic simulations and ZZ-exchange NMR. To enable the simulations, we applied the weighted ensemble path sampling strategy, which generates continuous pathways for a rare-event process [e.g., ligand (un)binding] with rigorous kinetics in orders of magnitude less computing time compared to conventional simulations. Results reveal the formation of an encounter complex intermediate and two distinct classes of pathways for ligand exit. Based on these pathways, we identified two pairs of conformational gating residues in the receptor: one for the major class (N288 and S304) and another for the minor class (L272 and M309). ZZ-exchange NMR validated the kinetic importance of N288 for ligand unbinding. Our results provide an ideal simulation dataset for rational manipulation of ligand unbinding kinetics.

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Publication Details

Journal
Protein Science
Published
2024-10-28
DOI
https://doi.org/10.1002/pro.5198
Citations
6
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.44

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article

Gating residues govern ligand unbinding kinetics from the buried cavity in HIF‐2α PAS‐B

Lillian T. Chong, Matteo Masetti, Soumendu Boral, Kevin H. Gardner et al.
6 citations
Protein Science
Advanced NMR Techniques and Applications
1.44
article

Gating residues govern ligand unbinding kinetics from the buried cavity in HIF‐2α PAS‐B

Lillian T. Chong, Matteo Masetti, Soumendu Boral, Kevin H. Gardner, Melanie J. Cocco, Marion Silvestrini, Joseph D. Closson, Riccardo Solazzo
article en
6 citations

Abstract

While transcription factors have been generally perceived as "undruggable," an exception is the HIF-2 hypoxia-inducible transcription factor, which contains an internal cavity that is sufficiently large to accommodate a range of small-molecules, including the therapeutically used inhibitor belzutifan. Given the relatively long ligand residence times of these small molecules and the lack of any experimentally observed pathway connecting the cavity to solvent, there has been great interest in understanding how these drug ligands exit the buried receptor cavity. Here, we focus on the relevant PAS-B domain of hypoxia-inducible factor 2α (HIF-2α) and examine how one such small molecule (THS-017) exits from the buried cavity within this domain on the seconds-timescale using atomistic simulations and ZZ-exchange NMR. To enable the simulations, we applied the weighted ensemble path sampling strategy, which generates continuous pathways for a rare-event process [e.g., ligand (un)binding] with rigorous kinetics in orders of magnitude less computing time compared to conventional simulations. Results reveal the formation of an encounter complex intermediate and two distinct classes of pathways for ligand exit. Based on these pathways, we identified two pairs of conformational gating residues in the receptor: one for the major class (N288 and S304) and another for the minor class (L272 and M309). ZZ-exchange NMR validated the kinetic importance of N288 for ligand unbinding. Our results provide an ideal simulation dataset for rational manipulation of ligand unbinding kinetics.

Protein ScienceVol. 33(11)
The Graduate Center, CUNY (US), City College of New York (US), University of Pittsburgh (US), University of California, Irvine (US), CUNY Advanced Science Research Center (US), University of Bologna (IT)
National Science Foundation, City University of New York, University of Pittsburgh, G. Harold and Leila Y. Mathers Foundation, National Institutes of Health, Center for Research Computing, University of Pittsburgh, Office of Advanced Cyberinfrastructure, Division of Chemistry
Openalex Percentile: Top 19%
Advanced NMR Techniques and Applications
1.44
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